a toolkit for identifying and measuring physical streams features from high resolution dems and...

31
G EOMORPHOLOGICAL FEATURES EXTRACTION FROM HIGH RESOLUTION DEM S C.Cencetti, P.De Rosa, A.Fredduzzi. O G R S 2 0 1 4 : : O t a n i e m i C a m p u s , A a l t o U n i v e r s i t y , E s p o o : : 1 0 - 1 2 J u n e 2 0 1 4 A toolkit for identifying and A toolkit for identifying and measuring physical streams features measuring physical streams features from high resolution DEMs and from high resolution DEMs and digital image digital image Authors: C. Cencetti P. De Rosa A. Fredduzzi

Upload: pierluigi-de-rosa

Post on 22-Jan-2018

191 views

Category:

Environment


1 download

TRANSCRIPT

Page 1: A toolkit for identifying and measuring physical streams features from high resolution DEMs and digital image

G EOMORPHOLOGICAL FEATURES EXTRACTION FROM HIGH RESOLUTION DEM S C.Cencetti, P.De Rosa, A.Fredduzzi.

OG

RS

201

4 ::

Ot a

nie

mi C

am

pus

, Aal

to U

n ive

rsity

, Esp

oo : :

10-

12 J

une

201

4

A toolkit for identifying andA toolkit for identifying andmeasuring physical streams featuresmeasuring physical streams featuresfrom high resolution DEMs andfrom high resolution DEMs anddigital imagedigital image

Authors: C. CencettiP. De RosaA. Fredduzzi

Page 2: A toolkit for identifying and measuring physical streams features from high resolution DEMs and digital image

OG

RS

20

14

– O

tan

iem

i C

am

pu

s,

Aa

lto

Un

i ve

rsit

y , E

sp

oo

G EOMORPHOLOGICAL FEATURES EXTRACTION FROM HIGH RESOLUTION DEM S C.Cencetti, P.De Rosa, A.Fredduzzi.

The problem

● A river is a natural system characterized by continuous changes (in space and in time).

● In most developed countries, over the past decades, the morphology of most rivers have suffered huge changes, mainly due to anthropic interventions.

From Surian & Rinaldi, 2003

The anthropic effects usually cause a narrowing and incision of channel leading to a change of channel type.

Effects:Change in hydrograph response → flooding

Page 3: A toolkit for identifying and measuring physical streams features from high resolution DEMs and digital image

OG

RS

20

14

– O

tan

iem

i C

am

pu

s,

Aa

lto

Un

i ve

rsit

y , E

sp

oo

G EOMORPHOLOGICAL FEATURES EXTRACTION FROM HIGH RESOLUTION DEM S C.Cencetti, P.De Rosa, A.Fredduzzi.

The Challenge

● Stream restoration has emerged as a means to improve aquatic systems by returning streams to their “pre-disturbed state”.

● So hydraulic work or any operation that affect the river should not (or al least minimize) the disturb to the system.

● Became fundamental understand the “equilibrium state” of a river.

– Fluvial geomorphologists are asked to answer the question: is the river/channel in equilibrium or disequilibrium?

Fluvial experts use indices as sinuosity index, braiding index, hydraulic discharge, bankfull limits to support their work comparing this values over time.

Page 4: A toolkit for identifying and measuring physical streams features from high resolution DEMs and digital image

OG

RS

20

14

– O

tan

iem

i C

am

pu

s,

Aa

lto

Un

i ve

rsit

y , E

sp

oo

G EOMORPHOLOGICAL FEATURES EXTRACTION FROM HIGH RESOLUTION DEM S C.Cencetti, P.De Rosa, A.Fredduzzi.

How to compare this indices over time?

Which elevation is should use to derive indices as braiding index (number of channels), flow discharge .

??

Moreover what happens if we want to compare such indices over time remembering that the cross section change in time.

A reference elevation is required

Page 5: A toolkit for identifying and measuring physical streams features from high resolution DEMs and digital image

OG

RS

20

14

– O

tan

iem

i C

am

pu

s,

Aa

lto

Un

i ve

rsit

y , E

sp

oo

G EOMORPHOLOGICAL FEATURES EXTRACTION FROM HIGH RESOLUTION DEM S C.Cencetti, P.De Rosa, A.Fredduzzi.

In the morphological-sediment study of a water course is useful to define a level (and a corresponding flow discharge) ”representative” (and responsible) about the shape and size of river channel. – Formative discharge.

Bankfull discharge

For a river in equilibrium state the formative discharge is the bankfull discharge or better is the discharge where streamflow spills onto the floodplain. [Leopold et al., 1964].

The flows effectively able to erode and shape the channel are not the low discharge (they flows through a channel) and not the highest discharge as they are capable of eroding the channel but they occur so infrequently. It is reasoned, therefore, that exists a range of intermediate discharges that do most of the work of shaping the river channel and that some summary value of these intermediate flows represents the formative discharge of the river (Wolman & Miller, 1960)

The formative discharge corresponds to a discharge with a return period between 1 and 3 years.

Bankfull elevation – bankfull discharge

Page 6: A toolkit for identifying and measuring physical streams features from high resolution DEMs and digital image

OG

RS

20

14

– O

tan

iem

i C

am

pu

s,

Aa

lto

Un

i ve

rsit

y , E

sp

oo

G EOMORPHOLOGICAL FEATURES EXTRACTION FROM HIGH RESOLUTION DEM S C.Cencetti, P.De Rosa, A.Fredduzzi.

formative discharge – bankfull discharge

Bankfull channel ≠ Active channel

Thalweg

● Reconstructing streams to a pre-disturbed state is a difficult task as we know the landscape never return to its condition before human-disturbance

● We rely on accurate determination of the modern bankfull channel geometry to approach stream restoration projects.

Bankfulllimits

Page 7: A toolkit for identifying and measuring physical streams features from high resolution DEMs and digital image

OG

RS

20

14

– O

tan

iem

i C

am

pu

s,

Aa

lto

Un

i ve

rsit

y , E

sp

oo

G EOMORPHOLOGICAL FEATURES EXTRACTION FROM HIGH RESOLUTION DEM S C.Cencetti, P.De Rosa, A.Fredduzzi.

The hub for all indices

#1: Bankfull discharge

Bankfull elevation

#2: Number of channels

#3: Bankfull width

#4: Hydraulic conveyance

The tool here presented is developed to extract such morphological feature directly from an high resolution DEM (LiDAR)

#5: Polygon of channel limits

Page 8: A toolkit for identifying and measuring physical streams features from high resolution DEMs and digital image

OG

RS

20

14

– O

tan

iem

i C

am

pu

s,

Aa

lto

Un

i ve

rsit

y , E

sp

oo

G EOMORPHOLOGICAL FEATURES EXTRACTION FROM HIGH RESOLUTION DEM S C.Cencetti, P.De Rosa, A.Fredduzzi.

bankfull elevation

Bankfull location are identified on the following standard field indicators:● Break in bank slope corresponding with the active floodplain● High-flow markers

➢ Limit of bank scour➢ Roc k staining➢ Sand/silt deposits

● Vegetation limits● Bar tops

Page 9: A toolkit for identifying and measuring physical streams features from high resolution DEMs and digital image

OG

RS

20

14

– O

tan

iem

i C

am

pu

s,

Aa

lto

Un

i ve

rsit

y , E

sp

oo

G EOMORPHOLOGICAL FEATURES EXTRACTION FROM HIGH RESOLUTION DEM S C.Cencetti, P.De Rosa, A.Fredduzzi.

bankfull elevation

The bankfull definition becomes difficult to apply in riverbeds recently carved or still in incision.It may happen that the "active floodplain" is absent and the bankfull discharge could be identified as a discharge where flow spills onto a “terrace”.

This flow may be associated with return periods that excess the 1÷3 years - does not correspond to the formative discharge

The bankfull definition becomes difficult to apply in riverbeds recently carved or still in incision.It may happen that the "active floodplain" is absent and the bankfull discharge could be identified as a discharge where flow spills onto a “terrace”.

This flow may be associated with return periods that excess the 1÷3 years - does not correspond to the formative discharge

Page 10: A toolkit for identifying and measuring physical streams features from high resolution DEMs and digital image

OG

RS

20

14

– O

tan

iem

i C

am

pu

s,

Aa

lto

Un

i ve

rsit

y , E

sp

oo

G EOMORPHOLOGICAL FEATURES EXTRACTION FROM HIGH RESOLUTION DEM S C.Cencetti, P.De Rosa, A.Fredduzzi.

Cross section hydraulic magnitude

Vertical scale: horizontal scale = 10:1hydraulic depth=

wet areawidth

Page 11: A toolkit for identifying and measuring physical streams features from high resolution DEMs and digital image

OG

RS

20

14

– O

tan

iem

i C

am

pu

s,

Aa

lto

Un

i ve

rsit

y , E

sp

oo

G EOMORPHOLOGICAL FEATURES EXTRACTION FROM HIGH RESOLUTION DEM S C.Cencetti, P.De Rosa, A.Fredduzzi.

The methodology

The idea behind the tool is based exclusively on the bank/floodplain slope break.

For each cross section, is graphed the hydraulic depth as a function of flow elevation.

The (local) maximum value of this function indicates a the elevation where water spills across the floodplain

(approach suggested by McKean &Wright 2005 as variant of Williams 1978)

Page 12: A toolkit for identifying and measuring physical streams features from high resolution DEMs and digital image

OG

RS

20

14

– O

tan

iem

i C

am

pu

s,

Aa

lto

Un

i ve

rsit

y , E

sp

oo

G EOMORPHOLOGICAL FEATURES EXTRACTION FROM HIGH RESOLUTION DEM S C.Cencetti, P.De Rosa, A.Fredduzzi.

The tool

The tool developed is able to:

● graph the hydraulic depth vs the elevation

● investigate such function to locate the local maxima and select the first local max corresponding to the first break in slope.

Page 13: A toolkit for identifying and measuring physical streams features from high resolution DEMs and digital image

OG

RS

20

14

– O

tan

iem

i C

am

pu

s,

Aa

lto

Un

i ve

rsit

y , E

sp

oo

G EOMORPHOLOGICAL FEATURES EXTRACTION FROM HIGH RESOLUTION DEM S C.Cencetti, P.De Rosa, A.Fredduzzi.

The tool

The tool developed is able to:

● graph the hydraulic depth vs the elevation

● investigate such function to locate the local maxima and select the first local max corresponding to the first break in slope.

Page 14: A toolkit for identifying and measuring physical streams features from high resolution DEMs and digital image

OG

RS

20

14

– O

tan

iem

i C

am

pu

s,

Aa

lto

Un

i ve

rsit

y , E

sp

oo

G EOMORPHOLOGICAL FEATURES EXTRACTION FROM HIGH RESOLUTION DEM S C.Cencetti, P.De Rosa, A.Fredduzzi.

The methodology – limitation

ISSUE:1)We experienced that the

methodology work better in rivers with floodplain and would be limited in confined channels that miss floodplains.

2)The method is less definitive in channel with multiple terrace, where could be tricky decide which terrace and which plateaux in the hydraulic depth function correspond to the current bankfull elevation

A specific smoothing procedure is required to find the

“significant” local maxima(remove noise)

Page 15: A toolkit for identifying and measuring physical streams features from high resolution DEMs and digital image

OG

RS

20

14

– O

tan

iem

i C

am

pu

s,

Aa

lto

Un

i ve

rsit

y , E

sp

oo

G EOMORPHOLOGICAL FEATURES EXTRACTION FROM HIGH RESOLUTION DEM S C.Cencetti, P.De Rosa, A.Fredduzzi.

The QGIS pluginThe tool have been implemented as QGIS plugin ant it have two main steps:1) Cross sections generation from river axis known longitudinal step and

width2) Evaluation of bankfull elevation (following the proposed methodology) for

each cross section and deriving of all morphological features.

In tab “Numerical setting” the user select the vertical steps and the minimum hydraulic depth.

1

2

Page 16: A toolkit for identifying and measuring physical streams features from high resolution DEMs and digital image

OG

RS

20

14

– O

tan

iem

i C

am

pu

s,

Aa

lto

Un

i ve

rsit

y , E

sp

oo

G EOMORPHOLOGICAL FEATURES EXTRACTION FROM HIGH RESOLUTION DEM S C.Cencetti, P.De Rosa, A.Fredduzzi.

The numerical parameters

Vertical steps: it defines the number of points in function.+ High values are more sensitive for

small slope variations- High computational timeUsually > 500

Minimum hydraulic depth: this setting is to filter out local maxima below such value. Usually: 0.5 m

Page 17: A toolkit for identifying and measuring physical streams features from high resolution DEMs and digital image

OG

RS

20

14

– O

tan

iem

i C

am

pu

s,

Aa

lto

Un

i ve

rsit

y , E

sp

oo

G EOMORPHOLOGICAL FEATURES EXTRACTION FROM HIGH RESOLUTION DEM S C.Cencetti, P.De Rosa, A.Fredduzzi.

The spline smoothing procedure I

A smoothing procedure, based on splines function, is required to remove local maxima not significant (“noise”).

● Explore the range 0÷1 for 100 smoothing parameter (spar).

● To select the best “spar” parameter a k-fold cross validation is used.

● For each “spar” parameter the mean square error and the 1sd is computed

Black dots represent the mean square error and the grey bar the 1sd

The spar selection

Page 18: A toolkit for identifying and measuring physical streams features from high resolution DEMs and digital image

OG

RS

20

14

– O

tan

iem

i C

am

pu

s,

Aa

lto

Un

i ve

rsit

y , E

sp

oo

G EOMORPHOLOGICAL FEATURES EXTRACTION FROM HIGH RESOLUTION DEM S C.Cencetti, P.De Rosa, A.Fredduzzi.

The spline smoothing procedure II

A smoothing procedure, based on splines function, is required to remove local maxima not significant (“noise”).

● spar parameter with minimum error

● The corresponding 1sd

● The highest spar parameter, just smaller that 1sd, is selected

The spar parameter: 1)non significantly

different from the minimum

2)Big enough to smooth data and remove noise

Page 19: A toolkit for identifying and measuring physical streams features from high resolution DEMs and digital image

OG

RS

20

14

– O

tan

iem

i C

am

pu

s,

Aa

lto

Un

i ve

rsit

y , E

sp

oo

G EOMORPHOLOGICAL FEATURES EXTRACTION FROM HIGH RESOLUTION DEM S C.Cencetti, P.De Rosa, A.Fredduzzi.

Evaluation of bankfull elevation

we found the local maxima looking for the zero function of 1st and 2nd derivative of spline using the newthon-rampson method.

The figure shows how The figure shows how this approach is able this approach is able to remove small local to remove small local maxima for a better maxima for a better identification of identification of bankfull elevationbankfull elevation

No selected No selected local maximalocal maxima

Page 20: A toolkit for identifying and measuring physical streams features from high resolution DEMs and digital image

OG

RS

20

14

– O

tan

iem

i C

am

pu

s,

Aa

lto

Un

i ve

rsit

y , E

sp

oo

G EOMORPHOLOGICAL FEATURES EXTRACTION FROM HIGH RESOLUTION DEM S C.Cencetti, P.De Rosa, A.Fredduzzi.

Polygon limits for multiple channels

In case of multiple channel the tool locate the polygon limits to the channel with wet area max.

Channel limits

Banfull width

Page 21: A toolkit for identifying and measuring physical streams features from high resolution DEMs and digital image

OG

RS

20

14

– O

tan

iem

i C

am

pu

s,

Aa

lto

Un

i ve

rsit

y , E

sp

oo

G EOMORPHOLOGICAL FEATURES EXTRACTION FROM HIGH RESOLUTION DEM S C.Cencetti, P.De Rosa, A.Fredduzzi.

The entire workflow

Page 22: A toolkit for identifying and measuring physical streams features from high resolution DEMs and digital image

OG

RS

20

14

– O

tan

iem

i C

am

pu

s,

Aa

lto

Un

i ve

rsit

y , E

sp

oo

G EOMORPHOLOGICAL FEATURES EXTRACTION FROM HIGH RESOLUTION DEM S C.Cencetti, P.De Rosa, A.Fredduzzi.

Case study: Paglia River – central Italy

Reach of 2.2 km of length

XS step: 80mXS width: 400 m

Page 23: A toolkit for identifying and measuring physical streams features from high resolution DEMs and digital image

OG

RS

20

14

– O

tan

iem

i C

am

pu

s,

Aa

lto

Un

i ve

rsit

y , E

sp

oo

G EOMORPHOLOGICAL FEATURES EXTRACTION FROM HIGH RESOLUTION DEM S C.Cencetti, P.De Rosa, A.Fredduzzi.

a

Case study: Paglia River – central Italy

Wandering river in a strong disequilibrium state.● Narrowing and incision

processes● Change in channel

morphology from a braided river to a wandering

● The old active floodplain works now as a morphological terrace

● The active floodplain is now inside the old riverbed, before the narrowing process started.

The blue line is the polygon output of the tool: refers to the limits of the main channel related to the bankfull elevation.

Page 24: A toolkit for identifying and measuring physical streams features from high resolution DEMs and digital image

OG

RS

20

14

– O

tan

iem

i C

am

pu

s,

Aa

lto

Un

i ve

rsit

y , E

sp

oo

G EOMORPHOLOGICAL FEATURES EXTRACTION FROM HIGH RESOLUTION DEM S C.Cencetti, P.De Rosa, A.Fredduzzi.

Results: channel limits in detail

Page 25: A toolkit for identifying and measuring physical streams features from high resolution DEMs and digital image

OG

RS

20

14

– O

tan

iem

i C

am

pu

s,

Aa

lto

Un

i ve

rsit

y , E

sp

oo

G EOMORPHOLOGICAL FEATURES EXTRACTION FROM HIGH RESOLUTION DEM S C.Cencetti, P.De Rosa, A.Fredduzzi.

Local incongruence?

Local incongruence (a) between main channel limits and aerial photo does not appear in the shaded map.

There is a shift in time between LiDAR survey and orthofoto date.

Page 26: A toolkit for identifying and measuring physical streams features from high resolution DEMs and digital image

OG

RS

20

14

– O

tan

iem

i C

am

pu

s,

Aa

lto

Un

i ve

rsit

y , E

sp

oo

G EOMORPHOLOGICAL FEATURES EXTRACTION FROM HIGH RESOLUTION DEM S C.Cencetti, P.De Rosa, A.Fredduzzi.

Result: number of channels vs bankfull width

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 280

50

100

150

200

250

0

1

2

3

4

5

6

7

bankfull width channels

wid

th (

m)

# o

f ch

an

ne

ls

In a equilibrium river # of channel is proportional to the bankfull width.

The proportion looks altered.The floodplain is going to became a terrace.

Page 27: A toolkit for identifying and measuring physical streams features from high resolution DEMs and digital image

OG

RS

20

14

– O

tan

iem

i C

am

pu

s,

Aa

lto

Un

i ve

rsit

y , E

sp

oo

G EOMORPHOLOGICAL FEATURES EXTRACTION FROM HIGH RESOLUTION DEM S C.Cencetti, P.De Rosa, A.Fredduzzi.

0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 280

100

200

300

400

500

600

700

800

900

1000

0

50

100

150

200

250

300

wet area

Bankfull di-scharge

m3

/s

Are

a (

m2

)

Result: wet area and bankfull discharge

A good correlation between discharge and wet area.

1)For some cross section the proportion is altered (see 13÷14 and 26÷27) – low bed slope

2)Section 1 has very higher value of area → high discharge

Q =χ⋅S⋅√R j

Page 28: A toolkit for identifying and measuring physical streams features from high resolution DEMs and digital image

OG

RS

20

14

– O

tan

iem

i C

am

pu

s,

Aa

lto

Un

i ve

rsit

y , E

sp

oo

G EOMORPHOLOGICAL FEATURES EXTRACTION FROM HIGH RESOLUTION DEM S C.Cencetti, P.De Rosa, A.Fredduzzi.

Cross section #1

● The cross section look carved and in this point the river is partially confined (the floodplain in right is missing).

Page 29: A toolkit for identifying and measuring physical streams features from high resolution DEMs and digital image

OG

RS

20

14

– O

tan

iem

i C

am

pu

s,

Aa

lto

Un

i ve

rsit

y , E

sp

oo

G EOMORPHOLOGICAL FEATURES EXTRACTION FROM HIGH RESOLUTION DEM S C.Cencetti, P.De Rosa, A.Fredduzzi.

Result: discharge variation and water table

0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28-2

0

2

4

6

8

10

12

14

16

130

135

140

145

150

155

maxWTWT linear egressionvariation

As the discharge may be affected by global error, as the DTM LiDAR does not include the under-water, we should be more interested in variation rather that the discharge itself.

Potential pitfallXS # 26 → Increasing of cross section area.XS #1 → carved cross section.

Page 30: A toolkit for identifying and measuring physical streams features from high resolution DEMs and digital image

OG

RS

20

14

– O

tan

iem

i C

am

pu

s,

Aa

lto

Un

i ve

rsit

y , E

sp

oo

G EOMORPHOLOGICAL FEATURES EXTRACTION FROM HIGH RESOLUTION DEM S C.Cencetti, P.De Rosa, A.Fredduzzi.

Conclusions

● Advantages

– The tool/plugin is designed to be extremely simple to use (a DEM input and two numerical parameters).

– The tool use a robust methodological approach.

– The bankfull limits are correctly located compared to aerial photo.

– Several parameters useful to evaluate the “state” of a river.

– Few tool that extract river morphological features exists already implemented in a GIS environment

● Disadvantages

– The methodology base the location of bankfull limits only on the slope/break in slope. Some other collateral indicators, from aerial photo (?), using image classification procedure could/should be inserted.

– The tool is less definitive for river that miss floodplain, or in strong disequilibrium, or for braided rivers.

Page 31: A toolkit for identifying and measuring physical streams features from high resolution DEMs and digital image

OG

RS

20

14

– O

tan

iem

i C

am

pu

s,

Aa

lto

Un

i ve

rsit

y , E

sp

oo

G EOMORPHOLOGICAL FEATURES EXTRACTION FROM HIGH RESOLUTION DEM S C.Cencetti, P.De Rosa, A.Fredduzzi.

THANKS FOR YOUR ATTENTIONTHANKS FOR YOUR ATTENTION

The authors acknowledge Luca Scrucca for the collaboration in the The authors acknowledge Luca Scrucca for the collaboration in the the statistical smoothing procedure.the statistical smoothing procedure.

Plugin available at:https://github.com/pierluigiderosa/BankFullDetection